Project Grant 2311215
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $200,000 Project Grant to The University Corporation, a non-profit organization located in Northridge, CA. The grant, funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), focuses on developing new statistical modeling and data resampling methods to address challenges posed by incomplete, missing, and fragmented observations in large datasets. Key objectives include: Advancing...
- The National Science Foundation (NSF) awarded a $270,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Virginia Polytechnic Institute & State University (Virginia Tech) to develop new statistical methods that incorporate heavy-tailed prior distributions. The overarching goals of the project are to: Unify feature extraction techniques in independent component analysis using novel latent space representations. Improve astronomical distance estimation by...
- This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) in the amount of $197,007 is supporting collaborative research to develop new statistical theories and methodologies for tackling issues related to false discovery rate control in regression analysis. The research aims to provide novel statistical tools for analyzing complex data from diverse scientific domains such as brain imaging, genome-wide association studies, and atmospheric...
- Virginia Polytechnic Institute & State University (Virginia Tech) was awarded a three-year, $104,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant will support collaborative research on Bayesian inversion approaches to partial differential equations, including theory development, algorithm design, and application of these methods. The Mathematical and Physical...
- The National Science Foundation (NSF) awarded a $180,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of North Carolina at Chapel Hill (UNC-CH) for a 3-year collaborative research project. The project aims to develop an efficient statistical framework to improve personalized treatment decisions in medicine by leveraging demographic, socio-economic, and biomedical data. The research will contribute to better health outcomes, more efficient...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $173,740 Project Grant to Florida State University (FSU) Sponsored Research Administration Division to enhance methods for analyzing temporally observed or time-indexed multi-sample data across diverse fields like environmental sciences, epidemiology, and economics. The 3-year grant, starting September 1, 2023, aims to develop innovative statistical techniques to study data that does not fit conventional univariate...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $100,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Georgia Tech Research Corporation (Georgia Tech) from August 15, 2023 to July 31, 2026. The grant will support the development of a "Novel Distributed, Multi-Channel, Topology-Aware Online Monitoring Framework of Massive Spatiotemporal Data" called A-DMIT. This framework aims to advance online threat detection...
- The National Science Foundation (NSF) awarded a $249,989 project grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of New Hampshire's (UNH) Office of Sponsored Research. The grant supports the development of efficient and robust statistical tools for modeling data with measurement errors, a common challenge in fields like epidemiology and economics. The research aims to improve estimation accuracy and hypothesis testing power across linear, nonlinear, and...
- This $175,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will fund research to develop new statistical and computational methods to enhance the reliability of data analysis in modern, large-scale datasets, particularly in the era of AI. The key areas of focus include: (1) analyzing the robustness of manifold and deep learning algorithms for high-dimensional, noisy, and nonlinear data; (2) developing statistical theory...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of innovative statistical and mathematical methods for time series data analysis. The key objectives of this 2-year project are: a) Developing a variable selection method to identify significant exogenous covariates in autoregressive conditional heteroscedasticity (ARCH) models. b) Designing a novel nonparametric hypothesis test to...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $125,667 Project Grant to Virginia Polytechnic Institute & State University (Virginia Tech) under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund collaborative research to develop new theories and methodologies for multiple hypothesis testing on regression analysis, which is critical for analyzing high-dimensional data in the era of big data. The research project will create novel statistical tools to facilitate discoveries related to key variables for conditions like blood pressure, coronary heart disease, and stroke, across applications in fields like brain imaging, genome-wide association studies, and atmospheric science. The work will also provide training opportunities for graduate students in data science skills to meet industry and academic demand. Software developed through the project will be made publicly accessible.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $125.7k | 7/21/23 |